Skip to main content

Articles GEO Methodology

4-Entity Model, EEAT-A & Internal Wikipedia: Turning Your Site into AI’s Primary Grounding Source

On-page GEO differs fundamentally from classic On-page SEO. Instead of keyword density, you must engineer unambiguous entity graphs and an Internal Wikipedia structure.

In classic SEO, on-page optimization revolved around keyword placement and word count. When Large Language Models perform Grounding, however, they evaluate pages on Entity unambiguousness and Fact Extractability.

1. The Proprietary 4-Entity Model

Every GEO campaign led by Brian Ho begins by mapping and connecting 4 core entity nodes: Brand Entity, Offering Entity, Author/Executive Entity, and Market/Use-Case Entity.

2. Signature Strategy: Internal Wikipedia & EEAT-A

Instead of publishing hundreds of fragmented, cannibalizing blog posts, the Internal Wikipedia architecture structures your domain into canonical knowledge nodes with structured comparison tables, verifiable data points, and tight semantic linking. Paired with EEAT-A, your website becomes the primary reference source cited by ChatGPT, Gemini, and AI Overviews.